Methods Circuits Devices Systems and Associated Machine Executable Code for Taste-based Targeting and Delivery of Content

Abstract

Disclosed is a digital content targeting and delivery system. The system includes an interface to receive a primary content for distribution to one or more audience groups and a content feature detector to extract content features relevant to each of one or more audience groups. A relevant audience set generator parses a pool of potential audience member records into one or more (target) audience group lists by matching extracted content features with content preference parameters/fields of taste user profiles within the potential audience member records. a derivative content delivery module delivers, to members of at least one audience group, a derivative of the primary content including content segments with content features matching at least one common preference of the members of the at least one audience group.

What is claimed: 
     
         1 . A digital content targeting and delivery system comprising:
 an interface to receive a primary content for distribution to one or more audience groups;   a content feature detector to identify content features potentially relevant to one or more audience groups;   a relevant audience set generator to parse a pool of potential audience member records into one or more (target) audience group lists by matching extracted content features with content preference parameters/fields within the potential audience member records, such that each member of an audience group shares at least one common content preference with a content preference detected in the primary content; and   a derivative content delivery module to deliver to members of at least one audience group a derivative of the primary content including content segments with content features matching at least one preference of each of the members of the at least one audience group.   
     
     
         2 . The system according to  claim 1 , wherein said derivative content delivery module includes a derivative content generator for generating, from within the primary content, segments with features appealing or relevant to a given audience group. 
     
     
         3 . The system according to  claim 2 , wherein said derivative content generator stiches selected segments of the primary content with generic content segments. 
     
     
         4 . The system according to  claim 3 , wherein said derivative content generator combines/stiches relatively more content segments with features appealing/relevant to a given audience group than with generic segments. 
     
     
         5 . The system according to  claim 4 , wherein said derivative content generator extends the relative number of content segments with features appealing/relevant to a given audience group in comparison to generic content segments. 
     
     
         6 . The system according to  claim 1 , wherein said derivative content delivery module includes a derivative content selector for selecting derivative content with content segments having features appealing or relevant to a given audience group, from within a set of pre-generated versions of derivative contents. 
     
     
         7 . The system according to  claim 1 , wherein said audience set generator, upon generation of an audience group list having a number of members which is below a predefined threshold, lowers the predefined threshold for inclusion in the audience group. 
     
     
         8 . The system according to  claim 1 , wherein said audience set generator, upon generation of an audience group list having a number of members which is below a predefined threshold, moves into the audience group list having a number of members which is below a predefined threshold, members from another audience group list having a number of members which is above the predefined threshold. 
     
     
         9 . The system according to  claim 1 , wherein said audience set generator is adapted to adjust the audience group inclusion threshold, as to generate audience group lists including a predefined number of members. 
     
     
         10 . The system according to  claim 9 , wherein the predefined number of members is selected from the group consisting of: a maximal number, a minimal number and a range of numbers. 
     
     
         11 . The system according to  claim 1 , wherein said content feature detector (Title/Item Tagging and Taste Profiling Server) comprises:
 a gene mapper (Content Item Tagger) for tagging the primary content item with relevant features (herein: genes) from a pre-defined structured taxonomy of domain-specific content features/characteristics structured in content categories (herein: genome); and   a primary content item prototypical tastes ranking logic for ranking semantic tastes from a pre-generated repository of prototypical tastes against genes assigned to the primary content item by said gene mapper, wherein the semantic tastes from the repository are ranked at least partially based on their semantic similarity to semantic tastes of the primary content item, generated based on the genes assigned by said gene mapper.   
     
     
         12 . The system according to  claim 11 , wherein said content feature detector (Title/Item Tagging and Taste Profiling Server) further comprises a primary content item prototypical tastes selection logic for selecting from within the repository, a set of one or more relatively highly ranked prototypical tastes to collectively represent a semantic taste profile of the primary content Item. 
     
     
         13 . The system according to  claim 12 , wherein said relevant audience set generator (Segmentation Server) matches the extracted content features with content preference parameters/fields within the potential audience member records, by: (1) applying a semantic similarity function between the semantic taste profile representing the primary content Item and semantic taste profiles of one or more potential audience members and (2) selecting one or more audience members, from within the potential audience member records, whose taste profiles are semantically most similar to the taste profile representing the primary content item. 
     
     
         14 . The system according to  claim 1 , further comprising a bidding engine for generating and providing ad-space price quotes, for presentation of the derivative content, wherein generated price quotes are at least partially based on the matching level between content features of the derivative content and preferences of each of the members of the targeted audience group. 
     
     
         15 . A digital content targeting and delivery method comprising:
 receiving a primary content for distribution to one or more audience groups;   detecting content features relevant to each of one or more audience groups;   parsing a pool of potential audience member records into one or more (target) audience group lists by matching extracted content features with content preference parameters/fields within the potential audience member records, such that each member of an audience group shares at least one common content preference with a content preference detected in the primary content; and   delivering to members of at least one audience group a derivative of the primary content including content segments with content features matching at least one preference of each of the members of the at least one audience group.   
     
     
         16 . The method according to  claim 15 , wherein delivering the derivative content includes generating, from within the primary content, segments with features appealing/relevant to a given audience group. 
     
     
         17 . The method according to  claim 16 , further including stitching selected segments of the primary content with generic/core content segments, wherein relatively more content segments with features appealing/relevant to a given audience group than content segments with generic/core/non-relevant segments are selected and stitched. 
     
     
         18 . The method according to  claim 15 , wherein delivering the derivative content includes selecting derivative content with content segments having features appealing/relevant to a given audience group, from within a set of pre-generated versions of derivative contents. 
     
     
         19 . The method according to  claim 15 , further including moving into an audience group list having a number of members which is below a predefined threshold, members from another audience group list having a number of members which is above the predefined threshold. 
     
     
         20 . The method according to  claim 15 , wherein detecting content features relevant to each of one or more audience groups includes:
 tagging the primary content item with relevant genes from a pre-defined structured taxonomy of domain-specific content features/characteristics structured in content categories; and   ranking semantic tastes from a pre-generated repository of prototypical tastes against genes assigned to the primary content item, wherein the semantic tastes from the repository are ranked at least partially based on their semantic similarity to semantic tastes of the primary content item, generated based on the assigned genes.